{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ABU量化系统使用文档 \n",
    "\n",
    "<center>\n",
    "        <img src=\"./image/abu_logo.png\" alt=\"\" style=\"vertical-align:middle;padding:10px 20px;\"><font size=\"6\" color=\"black\"><b>第29节 多因子策略并行执行配合</b></font>\n",
    "</center>\n",
    "\n",
    "-----------------\n",
    "\n",
    "作者: 阿布\n",
    "\n",
    "阿布量化版权所有 未经允许 禁止转载\n",
    "\n",
    "[abu量化系统github地址](https://github.com/bbfamily/abu) (欢迎+star)\n",
    "\n",
    "[本节ipython notebook](https://github.com/bbfamily/abu/tree/master/abupy_lecture)\n",
    "\n",
    "上一节讲解了经典择时策略双均线的示例，本节讲解多因子策略并行执行配合。\n",
    "\n",
    "首先导入本节需要使用的abupy中的模块： "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "enable example env will only read RomDataBu/df_kl.h5\n"
     ]
    }
   ],
   "source": [
    "# 基础库导入\n",
    "\n",
    "from __future__ import print_function\n",
    "from __future__ import division\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "warnings.simplefilter('ignore')\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import os\n",
    "import sys\n",
    "# 使用insert 0即只使用github，避免交叉使用了pip安装的abupy，导致的版本不一致问题\n",
    "sys.path.insert(0, os.path.abspath('../'))\n",
    "import abupy\n",
    "\n",
    "# 使用沙盒数据，目的是和书中一样的数据环境\n",
    "abupy.env.enable_example_env_ipython()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from abupy import AbuDoubleMaBuy, AbuDoubleMaSell, AbuSDBreak, AbuFactorBuyBreak\n",
    "from abupy import AbuFactorCloseAtrNStop, AbuFactorAtrNStop, AbuFactorPreAtrNStop\n",
    "from abupy import abu, ABuProgress, AbuMetricsBase, EMarketTargetType\n",
    "from abupy import AbuFactorSellNDay, AbuFactorBuyWD, AbuFactorSellBreak"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "到目前为止已经示例了很多买入因子，abupy中一个特点即是可以在交易中使用多个买入，卖出因子并行执行生效。\n",
    "\n",
    "在回测交易中可以组织多个买入因子构建序列，如：\n",
    "\n",
    "1. 自适应动态双均线买入金叉策略\n",
    "2. 海龟42天周期向上突破买入策略\n",
    "3. 大盘拟合稳定21天突破买入策略\n",
    "\n",
    "亦可以组织多个卖出策略构建序列，如：\n",
    "\n",
    "1. 双均线卖出死叉策略\n",
    "2. 海龟21天周期向下突破卖出策略\n",
    "3. 基本止盈止损策略：止损1.0，止盈3.0\n",
    "4. 风险控制止损策略：参数1.5\n",
    "5. 利润保护止盈策略：参数1.5\n",
    "\n",
    "下面代码按照上述进行买入，卖出因子序列构建，如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "buy_factors = [{'class': AbuDoubleMaBuy},\n",
    "               {'xd': 42, 'class': AbuFactorBuyBreak}, \n",
    "               {'xd': 21, 'class': AbuSDBreak}]\n",
    "\n",
    "sell_factors = [\n",
    "    {'class': AbuDoubleMaSell},\n",
    "    {'xd': 21, 'class': AbuFactorSellBreak},\n",
    "    {'stop_loss_n': 1.0, 'stop_win_n': 3.0, 'class': AbuFactorAtrNStop},\n",
    "    {'class': AbuFactorPreAtrNStop, 'pre_atr_n': 1.5},\n",
    "    {'class': AbuFactorCloseAtrNStop, 'close_atr_n': 1.5}\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "构建完策略后，下面使用沙盒数据美股数据，示例并行执行上述策略进行回测，如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:131\n",
      "买入后尚未卖出的交易数量:7\n",
      "胜率:51.9084%\n",
      "平均获利期望:15.9512%\n",
      "平均亏损期望:-5.8270%\n",
      "盈亏比:2.7959\n",
      "策略收益: 45.0467%\n",
      "基准收益: 15.0841%\n",
      "策略年化收益: 22.5234%\n",
      "基准年化收益: 7.5420%\n",
      "策略买入成交比例:67.3913%\n",
      "策略资金利用率比例:37.0038%\n",
      "策略共执行504个交易日\n"
     ]
    },
    {
     "data": {
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NYFYhuxBIdrlcK51O5wnAbcDHu4wvBz7vcrnUBSUiIiIio6LNdyiB6Qi4YwlMOBymwdtE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1Z8ALt16AnQ986eoKq6ie13riI73cX28rfwief/kX53Hb6AD7d95Ifbq6c1qntrCHszsHi6KJ8f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\nmQOPpmm9wOc0TbsfqAfmAHWmD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      "text/plain": [
       "<matplotlib.figure.Figure at 0x112e363c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用沙盒内的美股做为回测目标\n",
    "us_choice_symbols = ['usTSLA', 'usNOAH', 'usSFUN', 'usBIDU', 'usAAPL', \n",
    "                     'usGOOG', 'usWUBA', 'usVIPS']\n",
    "\n",
    "# 初始资金量\n",
    "cash = 3000000\n",
    "def run_loo_back(choice_symbols, ps=None, n_folds=2, start=None, end=None, only_info=False):\n",
    "    \"\"\"封装一个回测函数，返回回测结果，以及回测度量对象\"\"\"\n",
    "    if choice_symbols[0].startswith('us'):\n",
    "        abupy.env.g_market_target = EMarketTargetType.E_MARKET_TARGET_US\n",
    "    else:\n",
    "        abupy.env.g_market_target = EMarketTargetType.E_MARKET_TARGET_CN\n",
    "    abu_result_tuple, _ = abu.run_loop_back(cash,\n",
    "                                           buy_factors,\n",
    "                                           sell_factors,\n",
    "                                           ps,\n",
    "                                           start=start,\n",
    "                                           end=end,\n",
    "                                           n_folds=n_folds,\n",
    "                                           choice_symbols=choice_symbols)\n",
    "    \"\"\"\n",
    "        这里把所有因子的唯一名称只取类名称，不要参数了:\n",
    "        eg：AbuDoubleMaBuy:fast=5,slow=60->AbuDoubleMaBuy\n",
    "    \"\"\"\n",
    "    abu_result_tuple.orders_pd['buy_factor'] = abu_result_tuple.orders_pd[\n",
    "        'buy_factor'].apply(lambda bf: bf.split(':')[0])\n",
    "    ABuProgress.clear_output()\n",
    "    metrics = AbuMetricsBase.show_general(*abu_result_tuple, returns_cmp=only_info, \n",
    "                                only_info=only_info,\n",
    "                                only_show_returns=True)\n",
    "    return abu_result_tuple, metrics\n",
    "\n",
    "abu_result_tuple, metrics = run_loo_back(us_choice_symbols)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面可视化各个买入因子的生效数量以及比例，如下："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入择时生效因子分布：\n",
      "AbuDoubleMaBuy       33\n",
      "AbuFactorBuyBreak    38\n",
      "AbuSDBreak           60\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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q1ySXJLnffJ0f6+4bq+pVSS5ca6w7Jtk9yeVVdbckZyW5Isn7krw/yevm8V4xj+M/53Hv\nM/9s7+nulyw63/7zMY/v7q/e0nsEAACwqTZ2he/oJCd3d1fVdXOsJMkZ3X16VT0nyYuTrG+L5hOr\n6ifnr1d39+OT3CvJCd19TlU9NMnvVtV7k/xRkgd39+XzVtLVST6QaYXv20l+N8kDuvvqqnptkmdm\nCqxvdvdhSVJVSXJ2VS3M13nffOx/0d3fqqrzkhxcVR9M8nNJXprk0UleXVXHJdk7yXeSfC7JHknu\nkuRB3f3dqrogydO6+4tV9fQkxyZ5U5ILuvvoOSz/Jcma4Htokp9JcugmrDgCALfBqlUrh7oO2wbz\nvbxsT/O9weCrqj0yhc9eVfVrSe6Y5Ffnp8+d/z4/yc+v4/AVi75e15bOf0/ykjmSFpLsnGTPTOF2\neZKsue9uDrgkuUeSL3T31YvGcFCSTybptc6/eEvn+zKtAt7S+N6U5HmZVgj/dg655Pu3dB6f5IQk\nv5/k0u7+7nzsvZO8YX79zplWHb+R5H9W1U8nuSrTPYDfG1eSlZlWHQGArWj16qs3/KLbaNWqlVvl\nOmwbzPfysi3O9/oCdGM+pfOIJKd090HdfUiS/TMFy6okD55fc0CSi5Ncm2n7Yqpq3yR32sC5fy/J\nm7v7yUk+minALk/yg1V1p/k8r6uqBye5aR7vpUl+vKruMJ/jEUm+PH9907ouMofZ15PssniMmT6Q\nZc1rzkvyI0menuSUWxjvP8/nWPtaneTI7j4w0+ree5MclelDZp6UKRJ3q6o1gfnyJK9N8oZbuA4A\nAMBttjHBd3SSt6z5pruvSfKuJPdM8tj50zofleSVST6d5Mqq+mSmbZeXbuDc70zymqo6dz7Hnt19\nU5LnJPmbeZvliiT/N9MK3iszhebLknx03kq5Z6b7ANfl7Kr6aFV9bD7P2zJtDb3bfO4nZFp9W+Nt\nSe7S3V9Y9Nirq+qcqvpwphXCl6/jOs9O8ub5nK/M9MEyH05yyPyznZRp1W/vNQd098lJ7lRVT9zA\newQAALBJViwsLCz1GLYZVfUbSa7o7lOXeixrHHrMmSYIADajU4975Ba/xra45Ystx3wvL9vifK9a\ntXLFLT13a34tw9Dm34+3d5JDl3goAAAAm4Xgm3X3UUs9BgAAgM1pY+7hAwAAYDsk+AAAAAYl+AAA\nAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl\n+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAAAAYl+AAA\nAAYl+AAAAAYl+AAAAAa101IPgPU764TDsnr11Us9DLaSVatWmu9lxHwvL+YbgKVghQ8AAGBQgg8A\nAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQ\ngg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8A\nAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQ\ngg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8A\nAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQ\ngg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8A\nAGBQgg8AAGBQgg8AAGBQgg8AAGBQgg8AAGBQOy31AFi/Q485c6mHAMCgTj3ukUs9BAC2MCt8AAAA\ngxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8\nAAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAA\ngxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAgxJ8AAAAg9ppc56sqo5N\n8sIkd+/ua6vqnCTP6u5LNuLYlyd5YpJ/S7Jjku8k+c3u/vtbOYYD52sevtbj6x1LVV2W5JLuPmTR\nYy9KckJ3r1jP9S5L8tUkC0nukOQd3f3qWzNmAACALWFzr/AdkeT0JIdv6IW34MTuPrC7D0jyvCR/\nUVW7brbRbdgPV9Wei75/dJJvbsRxB3X3I5I8NMkzq2qvLTI6AACAW2GzrfDNK2tfSfLGJG9Nctr8\n1PFzRF2X5Mgk98miFbiq+lp332Xt83X3JVX1mSQPq6pPz+fcfR7zS7r7I/Pq2r3m1cRXJrkkyWVJ\n7llVH0zyQ0lO6u5TFo3zjklOmZ9Lkud190Xz1+9M8vgkJ1XVveef577zcfdNcmKm1cc9kzy7u89f\na9i7Jbk+yTVVddQ8tuPmaL0kyf2SfCbJj3X3jVX1qiQXdvc7NuItBoDNatWqlUs9hKF5f5cX8728\nbE/zvTm3dB6d5OTu7qq6rqr2nx8/o7tPr6rnJHlxkvfcinN+PVNcvSTJh7r7D6vqh5OcV1X3WM9x\nOyc5NFOcfa6qFl/zt5J8uLtPqqp7JvmzJA+bn/uLJH+a5KQkT0rytiSHzc/dJ8kx3X1RVT0xyVOT\nrAm+s6tqIcm9krwvybfXNaju/lZVnZfk4DlIfy7JSzfyvQCAzWr16quXegjDWrVqpfd3GTHfy8u2\nON/rC9DNsqWzqvbItP3x+VX1gSR3TPKr89Pnzn+fn6TWcfgt3h+XZN8k/5Lk3mvO093/muSqJGtv\nm1x8ngu6+7vd/Z0kX0xyt0XP/Y8kT5vv6XtTkjsteu6fk6yoqn2S/FSSjy167l+TvLSq/jzJL2WK\nyjXWbOncZ/7zpPWM7U1JjsoUe3/b3d+9hZ8dAADgNtlc9/AdkeSU7j5o/tCT/ZMclGRVkgfPrzkg\nycVJrk1y1ySpqn3z/cH1PVV1nyQ/nuSCJF+aj8+8wrdHkivWnKuqViS5/6LDH1BVO1XVHTLF4lcW\nPXdJktd294FJnpBpq+hipyc5Icknunth0eOvS/Ky7n5KkouyjlCd4+3rSXZZ/HMmeeCi15yX5EeS\nPD3T1lIAAIAtYnNt6Tw6yZPXfNPd11TVu+bHH1tVL8i0KveUJFcnubKqPpkp5C5ddJ4XVdXhSW7M\ndC/cL3X3DVX1B0lOrapfSnL7JM+YH391pi2Ul+X7P1zl2iTvT/KDSV7e3d+o+t7i4iuSnFJVz8h0\nT+DL1/pZ3pkp7u6/1uNvTfLOqvpmplXHxR/ucnZV3Zjp/fznTFtBb5/k2fMWzgvnn3+NtyV5fHd/\n4b+8kwAAAJvJioWFhQ2/is2qqn4jyRXdfeqGXnvoMWeaIAC2iFOPe+RSD2FY2+I9Pmw55nt52Rbn\ne9Wqlbd4m9xm/T18bFhVnZZk70wfKgMAALDFCL6trLuPWuoxAAAAy8Pm/sXrAAAAbCMEHwAAwKAE\nHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAA\nwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAEHwAAwKAE\nHwAAwKAEHwAAwKAEHwAAwKB2WuoBsH5nnXBYVq++eqmHwVayatVK872MmO/lxXwDsBSs8AEAAAxK\n8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEA\nAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK\n8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEAAAxK8AEA\nAAxK8AEAAAxqxcLCwlKPAQAAgC3ACh8AAMCgBB8AAMCgBB8AAMCgBB8AAMCgBB8AAMCgBB8AAMCg\nBB8AAMCgdlrqAbBuVbVDkjckuV+S65Ic3d3/b2lHxeZWVfsneVV3H1hVP5rktCQLSS5O8tzuvmkp\nx8fmU1U7Jzk1yd2S3C7J7yf5Ysz5kKpqxyRvSlKZ5vdZSa6N+R5WVe2V5MIkj0pyQ8z10KrqM0mu\nmr+9NMkrYs6HVVUvTvILSXbJ9P/P/y7b0Xxb4dt2PTbJrt39kCTHJTlhicfDZlZVxyY5Ocmu80Mn\nJnlJdx+QZEWSw5ZqbGwRRyS5Yp7fQ5L8Ucz5yA5Nku7+qSQvyfR/Bs33oOb/oPMnSb4zP2SuB1ZV\nuyZZ0d0Hzn+eGnM+rKo6MMlDk/xUkkck2Sfb2XwLvm3Xw5J8IEm6+4Ik+y3tcNgCvpLkcYu+f1Cm\n/2KUJO9P8rNbfURsSe9M8tL56xWZVgDM+aC6+6+TPGP+dt8kV8Z8j+w1Sd6Y5N/m78312O6XZLeq\nOruqPlJVPxlzPrKDk1yU5N1Jzkry3mxn8y34tl27J/nWou9vrCpbcAfS3e9Kcv2ih1Z098L89dVJ\n7rj1R8WW0t3/2d1XV9XKJH+VadXHnA+su2+oqj9P8vokb4v5HlJVHZVkdXd/cNHD5nps12SK/IMz\nbdf2z/fY9sy08PL43DzfO2xP8y34tl1XJVm56PsduvuGpRoMW8Xivd8rM60IMJCq2ifJR5O8pbvf\nHnM+vO5+SpIfy3Q/3+0XPWW+x/G0JI+qqnOS3D/Jm5Psteh5cz2eLyd5a3cvdPeXk1yR5M6Lnjfn\nY7kiyQe7+7vd3Znux14ceNv8fAu+bdfHkzw6SeatAhct7XDYCv5+3ieeJD+X5GNLOBY2s6q6c5Kz\nk/xmd586P2zOB1VVT55v8k+m1YCbknzafI+nux/e3Y/o7gOTfDbJkUneb66H9rTMn61QVXtn2pV1\ntjkf1nlJDqmqFfN83yHJh7en+bZFcNv17kz/xfD8TPf7PHWJx8OWd0ySN1XVLkm+lGnbH+P4rSR7\nJHlpVa25l+/5SV5nzod0RpI/q6pzk+yc5AWZ5tg/48uD/z0f2ylJTquq8zJ9SuPTkvxHzPmQuvu9\nVfXwJJ/KtFj23EyfzLrdzPeKhYWFDb8KAACA7Y4tnQAAAIMSfAAAAIMSfAAAAIMSfAAAAIMSfAAA\nAIMSfAAAAIMSfAAAAIP6/5FC5Dc3zKwhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x111b48828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics.plot_buy_factors()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面可视化各个卖出因子的生效数量比例，可以发现双均线卖出死叉策略(AbuDoubleMaSell)和海龟21天周期向下突破卖出策略(AbuFactorSellBreak)生效的比例和数量都很多："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "卖出择时生效因子分布：\n",
      "AbuDoubleMaSell:61                        14\n",
      "AbuFactorAtrNStop:stop_loss=1.0            6\n",
      "AbuFactorAtrNStop:stop_win=3.0            18\n",
      "AbuFactorCloseAtrNStop:close_atr_n=1.5    47\n",
      "AbuFactorPreAtrNStop:pre_atr=1.5          14\n",
      "AbuFactorSellBreak:21                     32\n",
      "dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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VcDOwLnAHJSB/GtgKWBHYh9Jt3w3oA6Zl5unDfC4HAf8BPA/4E/C2WsOGEfHpeu36x94f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\nQoo3AAAALKR4AwAAwEL/Au07hEIHmyPPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116da2208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "metrics.plot_sell_factors()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "虽然上面的回测没有出错，但是本示例中多因子策略的设计组织本来是想要如下效果的：\n",
    "\n",
    "![](./image/mmm.png)\n",
    "\n",
    "即理想的多因子策略组织为：\n",
    "\n",
    "1. 基础卖出因子（止盈止损&风险控制&利润保护）对应所有买入因子生效\n",
    "2. 海龟21天周期向下卖出只对应海龟42天周期向上买入生效\n",
    "3. 双均线卖出死叉只对应买入动态双均线金叉生效\n",
    "\n",
    "这个问题在有些特殊的卖出因子组合下还会导致整体策略组合配合出错，如下\n",
    "\n",
    "1. 买入因子组合中添加在‘第26节 星期几是这个股票的好日子’中示例的周期短线均值回复买入策略AbuFactorBuyWD\n",
    "2. 卖出因子组合中添加AbuFactorSellNDay，sell_n=1配合AbuFactorBuyWD短线买入策略持有一天就卖出股票\n",
    "\n",
    "添加后进行回测，代码如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:232\n",
      "买入后尚未卖出的交易数量:2\n",
      "胜率:20.6897%\n",
      "平均获利期望:1.5342%\n",
      "平均亏损期望:-1.8610%\n",
      "盈亏比:0.8385\n",
      "策略收益: -3.8801%\n",
      "基准收益: 15.0841%\n",
      "策略年化收益: -1.9400%\n",
      "基准年化收益: 7.5420%\n",
      "策略买入成交比例:100.0000%\n",
      "策略资金利用率比例:2.8394%\n",
      "策略共执行504个交易日\n"
     ]
    },
    {
     "data": {
      "image/png": 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ClpK2mcRS58JuzSx4guGo+TkLpoVyJBLaspfwJRweCS0QhEJId3hm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\nIYQQQgghRML6/+okkX1HF1UeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112e07278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 添加AbuFactorBuyWD\n",
    "buy_factors = [\n",
    "               {'class': AbuFactorBuyWD},\n",
    "               {'class': AbuDoubleMaBuy},\n",
    "               {'xd': 42, 'class': AbuFactorBuyBreak}, \n",
    "               {'xd': 21, 'class': AbuSDBreak}]\n",
    "# 添加AbuFactorSellNDay\n",
    "sell_factors = [\n",
    "    {'class': AbuFactorSellNDay, 'sell_n': 1, 'is_sell_today': True},\n",
    "    {'class': AbuDoubleMaSell},\n",
    "    {'xd': 21, 'class': AbuFactorSellBreak},\n",
    "    {'stop_loss_n': 1.0, 'stop_win_n': 3.0, 'class': AbuFactorAtrNStop},\n",
    "    {'class': AbuFactorPreAtrNStop, 'pre_atr_n': 1.5},\n",
    "    {'class': AbuFactorCloseAtrNStop, 'close_atr_n': 1.5}\n",
    "]\n",
    "abu_result_tuple, metrics = run_loo_back(us_choice_symbols)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "由上回测结果可以看到效果很差，统计交易单中个买入因子所对应的卖出因子，可以发现卖出因子全部都使用了AbuFactorSellNDay，即所有的交易都只持有了一天就在第二天卖出了股票，如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "buy_factor         sell_type_extra           \n",
       "AbuDoubleMaBuy     AbuFactorSellNDay:sell_n=1    38\n",
       "AbuFactorBuyBreak  AbuFactorSellNDay:sell_n=1    40\n",
       "AbuFactorBuyWD     AbuFactorSellNDay:sell_n=1    94\n",
       "                                                  2\n",
       "AbuSDBreak         AbuFactorSellNDay:sell_n=1    60\n",
       "Name: sell_type_extra, dtype: int64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abu_result_tuple.orders_pd.groupby('buy_factor')['sell_type_extra'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这肯定不是整体策略设计的意愿，实际上只是想要短线均值回复买入策略AbuFactorBuyWD使用持有一天就卖出的策略，其它的买入策略不应该使用。\n",
    "\n",
    "要解决上述问题，只需要在买入因子字典中单独配置卖出因子策略，在全局的卖出因子策略序列中只配置适应全局卖出的策略，如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "买入后卖出的交易数量:225\n",
      "买入后尚未卖出的交易数量:9\n",
      "胜率:53.3333%\n",
      "平均获利期望:10.1370%\n",
      "平均亏损期望:-4.4064%\n",
      "盈亏比:2.4213\n",
      "策略收益: 46.7453%\n",
      "基准收益: 15.0841%\n",
      "策略年化收益: 23.3726%\n",
      "基准年化收益: 7.5420%\n",
      "策略买入成交比例:74.7863%\n",
      "策略资金利用率比例:40.6575%\n",
      "策略共执行504个交易日\n"
     ]
    },
    {
     "data": {
      "image/png": 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34PF7I92dISUBjBBCCCFGJGeHKmJpbQn1q4re456vH+alPa9R5ijv9fyWYAAz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\nEEIIIYRIGP8fA03/5833NaQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x116d9a550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "    持有一天卖出策略AbuFactorSellNDay只对应AbuFactorBuyWD生效\n",
    "    双均线卖出死叉只对应买入动态双均线金叉生效\n",
    "    海龟21天周期向下卖出只对应海龟42天周期向上买入生效\n",
    "\"\"\"\n",
    "buy_factors = [\n",
    "               {'class': AbuFactorBuyWD, \n",
    "                'sell_factors': [{'class': AbuFactorSellNDay, \n",
    "                                  'sell_n': 1, 'is_sell_today': True}]},\n",
    "               {'class': AbuDoubleMaBuy, \n",
    "                'sell_factors': [{'fast': 5, 'slow': 60, \n",
    "                                  'class': AbuDoubleMaSell}]},\n",
    "               {'xd': 42, 'class': AbuFactorBuyBreak, \n",
    "                'sell_factors': [{'xd': 21, \n",
    "                                  'class': AbuFactorSellBreak}]}, \n",
    "               {'xd': 21, 'class': AbuSDBreak}]\n",
    "\n",
    "# 基础卖出因子（止盈止损&风险控制&利润保护）对应所有买入因子生效\n",
    "sell_factors = [\n",
    "    {'stop_loss_n': 1.0, 'stop_win_n': 3.0, 'class': AbuFactorAtrNStop},\n",
    "    {'class': AbuFactorPreAtrNStop, 'pre_atr_n': 1.5},\n",
    "    {'class': AbuFactorCloseAtrNStop, 'close_atr_n': 1.5}\n",
    "]\n",
    "abu_result_tuple, metrics = run_loo_back(us_choice_symbols)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面代码的买入，卖出因子策略组织即完成了理想的因子配合方式，如下：\n",
    "\n",
    "1. 基础卖出因子（止盈止损&风险控制&利润保护）对应所有买入因子生效\n",
    "2. 海龟21天周期向下卖出只对应海龟42天周期向上买入生效\n",
    "3. 双均线卖出死叉只对应买入动态双均线金叉生效\n",
    "4. 持有一天就卖出策略AbuFactorSellNDay只对应短线均值回复买入策略AbuFactorBuyWD\n",
    "\n",
    "更进一步从下面回测单子中买入因子所对应的卖出因子可看到：\n",
    "\n",
    "1. AbuDoubleMaSell只对应AbuDoubleMaBuy\n",
    "2. AbuFactorSellBreak只对应AbuFactorBuyBreak\n",
    "3. AbuFactorSellNDay只对应AbuFactorBuyWD\n",
    "\n",
    "如下所示："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "buy_factor         sell_type_extra                       \n",
       "AbuDoubleMaBuy     AbuFactorCloseAtrNStop:close_atr_n=1.5    13\n",
       "                   AbuDoubleMaSell:61                         6\n",
       "                   AbuFactorAtrNStop:stop_win=3.0             6\n",
       "                                                              5\n",
       "                   AbuFactorAtrNStop:stop_loss=1.0            4\n",
       "                   AbuFactorPreAtrNStop:pre_atr=1.5           4\n",
       "AbuFactorBuyBreak  AbuFactorCloseAtrNStop:close_atr_n=1.5    17\n",
       "                   AbuFactorSellBreak:21                     10\n",
       "                   AbuFactorAtrNStop:stop_win=3.0             5\n",
       "                   AbuFactorPreAtrNStop:pre_atr=1.5           4\n",
       "                                                              2\n",
       "                   AbuFactorAtrNStop:stop_loss=1.0            2\n",
       "AbuFactorBuyWD     AbuFactorSellNDay:sell_n=1                94\n",
       "                                                              2\n",
       "AbuSDBreak         AbuFactorCloseAtrNStop:close_atr_n=1.5    23\n",
       "                   AbuFactorAtrNStop:stop_loss=1.0           17\n",
       "                   AbuFactorPreAtrNStop:pre_atr=1.5          11\n",
       "                   AbuFactorAtrNStop:stop_win=3.0             9\n",
       "Name: sell_type_extra, dtype: int64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abu_result_tuple.orders_pd.groupby('buy_factor')['sell_type_extra'].value_counts()"
   ]
  },
  {
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   "metadata": {},
   "source": [
    "组合不同特性的买入因子组成良好的买入策略很重要，但是要注意买入因子的组合不是组合的因子越多，优势越大，所有因子的组合、不光是优势的组合，同时也是劣势的组合，关于这方面的示例在之后的教程中会有讲解，请关注公众号中的教程更新。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### abu量化文档目录章节\n",
    "\n",
    "1. [择时策略的开发](http://www.abuquant.com/lecture/lecture_1.html)\n",
    "2. [择时策略的优化](http://www.abuquant.com/lecture/lecture_2.html)\n",
    "3. [滑点策略与交易手续费](http://www.abuquant.com/lecture/lecture_3.html)\n",
    "4. [多支股票择时回测与仓位管理](http://www.abuquant.com/lecture/lecture_4.html)\n",
    "5. [选股策略的开发](http://www.abuquant.com/lecture/lecture_5.html)\n",
    "6. [回测结果的度量](http://www.abuquant.com/lecture/lecture_6.html)\n",
    "7. [寻找策略最优参数和评分](http://www.abuquant.com/lecture/lecture_7.html)\n",
    "8. [A股市场的回测](http://www.abuquant.com/lecture/lecture_8.html)\n",
    "9. [港股市场的回测](http://www.abuquant.com/lecture/lecture_9.html)\n",
    "10. [比特币，莱特币的回测](http://www.abuquant.com/lecture/lecture_10.html)\n",
    "11. [期货市场的回测](http://www.abuquant.com/lecture/lecture_11.html)\n",
    "12. [机器学习与比特币示例](http://www.abuquant.com/lecture/lecture_12.html)\n",
    "13. [量化技术分析应用](http://www.abuquant.com/lecture/lecture_13.html)\n",
    "14. [量化相关性分析应用](http://www.abuquant.com/lecture/lecture_14.html)\n",
    "15. [量化交易和搜索引擎](http://www.abuquant.com/lecture/lecture_15.html)\n",
    "16. [UMP主裁交易决策](http://www.abuquant.com/lecture/lecture_16.html)\n",
    "17. [UMP边裁交易决策](http://www.abuquant.com/lecture/lecture_17.html)\n",
    "18. [自定义裁判决策交易](http://www.abuquant.com/lecture/lecture_18.html)\n",
    "19. [数据源](http://www.abuquant.com/lecture/lecture_19.html)\n",
    "20. [A股全市场回测](http://www.abuquant.com/lecture/lecture_20.html)\n",
    "21. [A股UMP决策](http://www.abuquant.com/lecture/lecture_21.html)\n",
    "22. [美股全市场回测](http://www.abuquant.com/lecture/lecture_22.html)\n",
    "23. [美股UMP决策](http://www.abuquant.com/lecture/lecture_23.html)\n",
    "\n",
    "abu量化系统文档教程持续更新中，请关注公众号中的更新提醒。\n",
    "\n",
    "#### 《量化交易之路》目录章节及随书代码地址\n",
    "\n",
    "1. [第二章 量化语言——Python](https://github.com/bbfamily/abu/tree/master/ipython/第二章-量化语言——Python.ipynb)\n",
    "2. [第三章 量化工具——NumPy](https://github.com/bbfamily/abu/tree/master/ipython/第三章-量化工具——NumPy.ipynb)\n",
    "3. [第四章 量化工具——pandas](https://github.com/bbfamily/abu/tree/master/ipython/第四章-量化工具——pandas.ipynb)\n",
    "4. [第五章 量化工具——可视化](https://github.com/bbfamily/abu/tree/master/ipython/第五章-量化工具——可视化.ipynb)\n",
    "5. [第六章 量化工具——数学：你一生的追求到底能带来多少幸福](https://github.com/bbfamily/abu/tree/master/ipython/第六章-量化工具——数学.ipynb)\n",
    "6. [第七章 量化系统——入门：三只小猪股票投资的故事](https://github.com/bbfamily/abu/tree/master/ipython/第七章-量化系统——入门.ipynb)\n",
    "7. [第八章 量化系统——开发](https://github.com/bbfamily/abu/tree/master/ipython/第八章-量化系统——开发.ipynb)\n",
    "8. [第九章 量化系统——度量与优化](https://github.com/bbfamily/abu/tree/master/ipython/第九章-量化系统——度量与优化.ipynb)\n",
    "9. [第十章 量化系统——机器学习•猪老三](https://github.com/bbfamily/abu/tree/master/ipython/第十章-量化系统——机器学习•猪老三.ipynb)\n",
    "10. [第十一章 量化系统——机器学习•ABU](https://github.com/bbfamily/abu/tree/master/ipython/第十一章-量化系统——机器学习•ABU.ipynb)\n",
    "11. [附录A 量化环境部署](https://github.com/bbfamily/abu/tree/master/ipython/附录A-量化环境部署.ipynb)\n",
    "12. [附录B 量化相关性分析](https://github.com/bbfamily/abu/tree/master/ipython/附录B-量化相关性分析.ipynb)\n",
    "13. [附录C 量化统计分析及指标应用](https://github.com/bbfamily/abu/tree/master/ipython/附录C-量化统计分析及指标应用.ipynb)\n",
    "\n",
    "[更多阿布量化量化技术文章](http://www.abuquant.com/article)\n",
    "\n",
    "\n",
    "更多关于量化交易相关请阅读[《量化交易之路》](http://www.abuquant.com/books/quantify-trading-road.html)\n",
    "\n",
    "更多关于量化交易与机器学习相关请阅读[《机器学习之路》](http://www.abuquant.com/books/machine-learning-road.html)\n",
    "\n",
    "更多关于abu量化系统请关注微信公众号: abu_quant\n",
    "\n",
    "![](./image/qrcode.jpg)"
   ]
  }
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